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Field
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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, or programming. The selected candidate will join the undergraduate teaching team and may teach introductory and advanced courses such as: Programming I (Python) Programming II (C or other low-level languages) Data
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computations using the Python-based Taskblaster workflow framework. CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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basic understanding of Python (proficiency is not required, but conceptual familiarity is beneficial). What We Offer We provide an inspiring, productive, and collaborative research environment with
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relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Degree : Master of Physics, data
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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with statistics or programming in R/python/MATLAB desirable. Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is fully funded for 3 years. Funding includes
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statistical learning for high-dimensional data, solid programming skills (including R or Python) and a strong interest in interdisciplinary research with applications in molecular biology and cancer research